Continual learning via knowledge distillation achieves SOTA 74.28% accuracy on new compound facial expression classes and 100% in one-shot learning.
Dynamic texture recognition using local binary patterns with an application to facial expressions,
2 Pith papers cite this work. Polarity classification is still indexing.
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Introduces TALKIN dataset and deep Siamese fusion network showing audio-visual combination outperforms uni-modal baselines for kinship verification.
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Complex Facial Expression Recognition Using Deep Knowledge Distillation of Basic Features
Continual learning via knowledge distillation achieves SOTA 74.28% accuracy on new compound facial expression classes and 100% in one-shot learning.
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Audio-Visual Kinship Verification
Introduces TALKIN dataset and deep Siamese fusion network showing audio-visual combination outperforms uni-modal baselines for kinship verification.